Sensitivity analysis of a permanent magnet temperature observer for PM synchronous machines using the Monte Carlo method

Daniel E. Gaona, O. Wallscheid, J. Bocker
{"title":"Sensitivity analysis of a permanent magnet temperature observer for PM synchronous machines using the Monte Carlo method","authors":"Daniel E. Gaona, O. Wallscheid, J. Bocker","doi":"10.1109/PEDS.2017.8289188","DOIUrl":null,"url":null,"abstract":"Monitoring rotor temperatures In permanent magnet machines is vital to avoid irreversible demagnetization. Different strategies have been developed among which the permanent magnet temperature observer (PMTO) stands out given its independence from signal injection and thermal models. In spite of its uncomplicated implementation, PMTO accuracy and sensitivity had been not deeply studied. This contribution presents a sensitivity analysis of the PMTO considering manufacture tolerances in the sensors that influence its performance: position, current, and DC-link voltage sensors. Results from Monte Carlo simulations showed a complex interaction between the sensor tolerances and achievable observer accuracy. While current sensor deviations play a minimum role in PMTO accuracy, voltage and position sensor deviations are critical. A statistical analysis reveled that a production quality control based on a sample of the population is not enough to guarantee an appropriate PMTO accuracy. Thus, specific sensor deviation ranges are required and were determined in this contribution.","PeriodicalId":411916,"journal":{"name":"2017 IEEE 12th International Conference on Power Electronics and Drive Systems (PEDS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 12th International Conference on Power Electronics and Drive Systems (PEDS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PEDS.2017.8289188","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

Monitoring rotor temperatures In permanent magnet machines is vital to avoid irreversible demagnetization. Different strategies have been developed among which the permanent magnet temperature observer (PMTO) stands out given its independence from signal injection and thermal models. In spite of its uncomplicated implementation, PMTO accuracy and sensitivity had been not deeply studied. This contribution presents a sensitivity analysis of the PMTO considering manufacture tolerances in the sensors that influence its performance: position, current, and DC-link voltage sensors. Results from Monte Carlo simulations showed a complex interaction between the sensor tolerances and achievable observer accuracy. While current sensor deviations play a minimum role in PMTO accuracy, voltage and position sensor deviations are critical. A statistical analysis reveled that a production quality control based on a sample of the population is not enough to guarantee an appropriate PMTO accuracy. Thus, specific sensor deviation ranges are required and were determined in this contribution.
永磁同步电机永磁温度观测器的蒙特卡罗灵敏度分析
在永磁电机中,监测转子温度对避免不可逆退磁至关重要。其中,永磁温度观测器(PMTO)由于其独立于信号注入和热模型而脱颖而出。虽然PMTO的实现并不复杂,但其准确性和灵敏度尚未得到深入的研究。本文介绍了PMTO的灵敏度分析,考虑了传感器中影响其性能的制造公差:位置、电流和直流链路电压传感器。蒙特卡罗模拟结果表明,传感器公差与可实现的观测器精度之间存在复杂的相互作用。虽然电流传感器偏差对PMTO精度的影响最小,但电压和位置传感器偏差至关重要。统计分析表明,基于人口样本的生产质量控制不足以保证适当的PMTO准确性。因此,需要特定的传感器偏差范围,并在此贡献中确定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信